KR101982404B1 - Monitoring method for patient based on beacon and system for the same - Google Patents

Abstract

A beacon-based patient monitoring method includes the steps of: confirming a position of a first terminal device in a room based on a strength of a beacon signal, the computer device receiving sensing data from a sensor device installed in the room; The method comprising the steps of: determining whether the first terminal device is located in a dangerous area on the basis of the location; and when the first terminal device is located in the dangerous area and the sensing data is greater than or equal to a reference value, 2 < / RTI > terminal device.

Description

Technical Field [0001] The present invention relates to a beacon-based patient monitoring method and monitoring system,

The techniques described below relate to techniques for monitoring patients in the room.

As the aging process continues and the elderly population increases, the number of patients with dementia also increases steeply. As the number of patients with dementia increases, the social cost of care for patients with dementia also increases. On the other hand, in reality, it is impossible for caregivers to keep an eye on patients with dementia because of cost problems. For this reason, the risk of disappearance due to the wandering of demented patients and the risk of accidents due to the room accident are scattered in homes and nursing homes.

Domestic dementia welfare policies include fingerprint pre-registration system, diffusion of dementia patient detection detectors, and identification of personal information. Among them, the deployment of a rope detector is the most effective way, with a policy of placing a GPS locator in the form of a necklace on the patient's neck and informing the caregiver when the patient walks.

Korean Patent No. 10-1648076

The GPS locator tracker has a disadvantage in that it can not operate normally in a room. The technique described below is intended to provide a method for monitoring a demented patient in a room based on a beacon signal.

A beacon-based patient monitoring method includes a computer device reducing the position of a first terminal device in a room based on an intensity of a beacon signal, the computer device receiving sensing data from a sensor device installed in the room, The method comprising the steps of: determining whether the first terminal device is located in a dangerous area on the basis of the location; and when the first terminal device is located in the dangerous area and the sensing data is greater than or equal to a reference value, 2 < / RTI > terminal device.

The technique described below tracks the position of the patient accurately in the room using a finger-printing algorithm for the beacon signal, and at the same time monitors the emergency situation of the patient utilizing the sensor.

1 shows an example of a configuration of a beacon-based patient monitoring system.
2 is another example showing the configuration of a beacon-based patient monitoring system.
3 is an example of estimating the position of a patient in a room using a beacon signal.
FIG. 4 is an example of data prepared in advance for tracking a patient position.
Figure 5 is an example illustrating the operation of a beacon-based patient monitoring system.
Figure 6 is an example of a flowchart of a beacon-based patient monitoring method.

The following description is intended to illustrate and describe specific embodiments in the drawings, since various changes may be made and the embodiments may have various embodiments. However, it should be understood that the following description does not limit the specific embodiments, but includes all changes, equivalents, and alternatives falling within the spirit and scope of the following description.

The terms first, second, A, B, etc., may be used to describe various components, but the components are not limited by the terms, but may be used to distinguish one component from another . For example, without departing from the scope of the following description, the first component may be referred to as a second component, and similarly, the second component may also be referred to as a first component. And / or < / RTI > includes any combination of a plurality of related listed items or any of a plurality of related listed items.

As used herein, the singular " include " should be understood to include a plurality of representations unless the context clearly dictates otherwise, and the terms " comprises & , Parts or combinations thereof, and does not preclude the presence or addition of one or more other features, integers, steps, components, components, or combinations thereof.

Before describing the drawings in detail, it is to be clarified that the division of constituent parts in this specification is merely a division by main functions of each constituent part. That is, two or more constituent parts to be described below may be combined into one constituent part, or one constituent part may be divided into two or more functions according to functions that are more subdivided. In addition, each of the constituent units described below may additionally perform some or all of the functions of other constituent units in addition to the main functions of the constituent units themselves, and that some of the main functions, And may be carried out in a dedicated manner.

Also, in performing a method or an operation method, each of the processes constituting the method may take place differently from the stated order unless clearly specified in the context. That is, each process may occur in the same order as described, may be performed substantially concurrently, or may be performed in the opposite order.

The technique described below is a technique for monitoring an object requiring careful observation of the caregiver in the room. For example, the subject to be monitored includes dementia patients, infants, and the like. For convenience of explanation, it is assumed that the subject to be monitored is a patient. The technique described below tracks the location of a patient in a room using a beacon. Further, the technique described below uses the sensor in conjunction with the tracked position to determine a patient's risk behavior or risk.

Figure 1 is an illustration showing the configuration of a beacon-based patient monitoring system 100. [ The area indicated by A in Fig. 1 means the interior of the building. For example, the building shown in Fig. 1 may be a space such as a home, a hospital, a daycare center, a nursing home, or the like. For the sake of convenience of explanation, it is assumed that a building such as a house is described below. The building has at least one door. The building is divided into a certain area. The building includes a number of rooms, a living room, a kitchen, a toilet, and the like. Thus, the structural or functional division of a building is called a divisional zone. In Fig. 1, the division area is shown by a rectangular dotted line.

The beacon-based patient monitoring system 100 includes beacons 110A, 110B and 110C, first terminal devices 120A and 120B, sensor devices 130A and 130B and a computer device 150. [

A beacon is a wireless communication device that can automatically recognize nearby smart devices and transmit necessary data. Beacon is a Bluetooth 4.0-based technology and corresponds to a one-way communication technique that does not require pairing. Beacons are known to be capable of operating at distances up to 70 meters. Generally, a service using a beacon has a configuration in which a smart device receives a signal transmitted by a beacon and receives certain information from a server based on an identifier transmitted by the beacon. 1 shows that one beacon is located in each of the division areas. FIG. 1 shows only a few beacons 110A, 110B, and 110C for explanation. The beacon need not be arranged in each of the divisional areas as shown in Fig. A beacon may be arranged in a certain area unit in a building, or a plurality of beacons may be arranged in a random position. However, a plurality of beacons must be arranged in the building, and it is preferable that an appropriate number of beacons be used in order to increase the accuracy of position tracking. In the beacon-based patient monitoring system 100, the beacons 110A, 110B and 110C only transmit a constant signal to the first terminal devices 120A and 120B. Beacons 110A, 110B, and 110C do not convey specific information. Beacons 110A, 110B, and 110C are used to track the position of the patient (first terminal device).

The first terminal devices 120A and 120B are terminal devices carried by the patient. Therefore, the positions of the first terminal devices 120A and 120B are the same as those of the patient. For example, the first terminal devices 120A and 120B may be smart devices or wearable devices (watches, bands, etc.). The first terminal devices 120A and 120B receive beacon signals from the beacons 110A, 110B, and 110C. 1 shows an example in which a first terminal device 120A receives a beacon signal from a beacon 110A and a beacon 110B. 1 also shows an example in which the first terminal device 120B receives a beacon signal from the beacon 110C. However, this is for explaining the operation in which the first terminal devices 120A and 120B receive the beacon signal from the beacon. In fact, the first terminal devices 120A and 120B receive beacon signals from all receivable beacons.

The positions of the first terminal devices 120A and 120B can be determined based on the intensity of the beacon signal. The positioning of the first terminal devices 120A and 120B can be performed by one of two objects. The first terminal devices 120A and 120B can determine the position using the intensity of the beacon signal received by the first terminal devices 120A and 120B. Also, the computer device 150 may determine the position using the intensity of the beacon signal transmitted from the first terminal devices 120A and 120B. The positioning process of the first terminal device will be described later.

Figure 1 shows two sensor devices 130A, 130B. The sensor devices 130A and 130B collect the information of the disposed surroundings. The data collected by the sensor device is referred to as sensing data. The sensor device may be used to determine a dangerous condition of the patient. Various types of sensor devices may be used depending on the purpose in the beacon-based patient monitoring system 100. For example, the sensor device 130A is a human body sensor disposed at a door or near a door. The human body detection sensor is a sensor for detecting whether or not a person is approaching. The human body detection sensor can be implemented in various forms such as an infrared sensor, an image sensor, and a noise sensor. In Fig. 1, the sensor device 130A can determine whether the patient is located near the door or moves close to the door. The sensor device 130B may be a fire detection sensor. For example, the division area in which the sensor device 130B is disposed may be a place such as a kitchen. The sensor device 130B senses heat due to the occurrence of a fire. The sensor device may be a human body detection sensor, a fire detection sensor (temperature sensor), a sound measurement sensor, a sensor (angular velocity sensor, gyro sensor, etc.) for measuring the arrangement state or movement of the sensor device itself.

The computer device 150 determines the dangerous state of the patient using the position of the first terminal device 120A or 120B and the sensing data collected by the sensor devices 130A and 130B. In FIG. 1, the computer device 150 is located within the building A. The computer device 150 means a device capable of performing a logical operation based on the received information. For example, the computer device 150 may be implemented as a PC, a smart device, a server, a home network control device, a gateway, a router, a Wi-Fi AP, and the like.

The computer device 150 can determine the location of the first terminal device 120A or 120B by receiving the beacon signal strength received by the terminal device from the first terminal device 120A or 120B. Or the computer device 150 may receive the location of the first terminal device 120A or 120B directly from the first terminal device 120A or 120B. The computer device 150 may receive information from the first terminal device 120A or 120B through a communication technique such as Wi-Fi based communication, mobile communication (3G, LTE, etc.), Zigbee and the like. The computer device 150 also receives sensing data from the sensor devices 130A and 130B. The computer device 150 may receive sensing data from the sensor devices 130A and 130B through the various communication techniques described above.

The computer device 150 can deliver the location of the patient to be monitored (the location of the first terminal) to the second terminal device 80. [ If the computer device 150 determines that the patient to be monitored is in a dangerous state, the computer device 150 may transmit information on the dangerous state to the second terminal device 80. The information that the computer device 150 conveys to the patient is referred to as patient information. The patient information includes at least one of information including the position of the patient, the condition of the patient, and the degree of risk of the patient. The computer device 150 may transmit information to the second terminal device 80 connected to the mobile communication network via the Internet. Or the computer device 150 may communicate information to the second terminal device 80 connected to the Internet.

The second terminal device 80 is a terminal device carried by the patient's caregiver. The second terminal device 80 may be a smart device or a wearable device (clock, band, etc.). The guardian can check the information received by the second terminal device 80 and grasp the state or the like of the patient.

FIG. 2 is another example showing the configuration of a beacon-based patient monitoring system 200. FIG. The beacon-based patient monitoring system 200 includes beacons 210A, 210B and 210C, first terminal devices 220A and 220B, sensor devices 230A and 230B, a data acquisition device 240 and a computer device 250 do.

The beacon-based patient monitoring system 200 further includes a data collection device 240, unlike the beacon-based patient monitoring system 100. [ The beacon-based patient monitoring system 200 is also in the form of a computer device 250 connected to a network. The computer device 250 is in the form of a server. The operation of the beacons 210A, 210B and 210C, the first terminal devices 220A and 220B and the sensor devices 230A and 230B is the same as that of the beacon-based patient monitoring system 100 in FIG.

The beacons 210A, 210B and 210C only transmit a constant signal to the first terminal devices 220A and 220B. The beacons 210A, 210B, and 210C are used to track the position of the patient (first terminal device).

The first terminal devices 220A and 220B are terminal devices carried by the patient. For example, the first terminal devices 220A and 220B may be smart devices or wearable devices (clocks, bands, etc.). FIG. 2 shows an example in which the first terminal device 220A receives a beacon signal from the beacon 210A and the beacon 210B. 2 shows an example in which the first terminal device 220B receives a beacon signal from the beacon 210C. However, this is for explaining the operation in which the first terminal devices 220A and 220B receive the beacon signal from the beacon. In fact, the first terminal devices 220A and 220B receive beacon signals from all receivable beacons.

The position of the first terminal device 220A or 220B can be determined based on the intensity of the beacon signal. The positioning of the first terminal devices 220A and 220B can be performed by one of two objects. The location can be determined using the intensity of the beacon signal received by the first terminal devices 220A and 220B. Also, the computer device 250 may determine the position using the intensity of the beacon signal transmitted from the first terminal devices 220A and 220B.

Figure 1 shows two sensor devices 230A, 230B. The sensor apparatuses 230A and 230B collect the information of the disposed periphery. The sensor device may be used to determine a dangerous condition of the patient, and various end-of-sensor devices may be used depending on the purpose in the beacon-based patient monitoring system 200. For example, the sensor device 230A may be a human body detection sensor disposed at a door or near a door. The sensor device 230A can determine whether the patient is near the door or moves close to the door. The sensor device 230B may be a fire detection sensor. The sensor device 230B senses heat due to the occurrence of a fire. The sensor device may be a human body detection sensor, a fire detection sensor (temperature sensor), a sound measurement sensor, a sensor (angular velocity sensor, gyro sensor, etc.) for measuring the arrangement state or movement of the sensor device itself.

The data collection device 240 collects data from the first terminal device 220A or 220B and the sensor devices 230A and 230B. The data collection device 240 collects the beacon signal strength or the location of the first terminal device 220A or 220B from the first terminal device 220A or 220B. The data collection device 240 collects sensing data from the sensor devices 230A to 230B. The data collection device 240 may be implemented as a PC, a smart device, a server, a home network control device, a gateway, a router, a Wi-Fi AP, and the like.

The data collection device 240 receives data from the first terminal device 220A or 220B or the sensor devices 230A and 230B through a communication technique such as Wi-Fi based communication, mobile communication (3G, LTE, etc.), Zigbee, can do. The data collection device 240 delivers the collected data to the computer device 250. The data collection device 240 may communicate data to the computer device 250 via the Internet.

The computer device 250 uses the data collected by the data collection device 240 to determine the risk of the patient. The computer device 250 can determine the position of the first terminal device 220A or 220B using the intensity of the beacon signal transmitted from the data collection device 240. [ Or the computer device 250 may receive the location of the first terminal device 220A or 220B determined by the first terminal device 220A or 220B from the data collection device 240. [

The computer device 250 can deliver the location of the patient to be monitored (the location of the first terminal) to the second terminal device 80. [ In addition, if the computer device 250 determines that the patient to be monitored is in a dangerous state, the computer device 250 may transmit information on the dangerous state to the second terminal device 80.

3 is an example of estimating the position of a patient in a room using a beacon signal. Fig. 3 (A) shows an example of arrangement of beacons in a building. In FIG. 3 (A), the building has seven division zones. 7 is the first, second, third, fourth, fifth, sixth, and seventh doors. 3 (A) shows an example in which beacons 311, 312, 313, 314, 315, 316 and 317 are arranged for each divisional area.

FIG. 3B shows a configuration for determining the location of the first terminal device 320 in the beacon-based patient monitoring system 300. The beacon-based patient monitoring system 300 includes beacons 311 to 317, a first terminal device 320 and a computer device 350. The first terminal device 320 located at the first location receives a beacon signal from all receivable beacons. 3B is an example in which the first terminal device 320 receives a beacon signal from all of the beacons 311 to 317 disposed in the building. The first terminal device 320 stores a plurality of received beacon signal strengths. The first terminal device 320 extracts an identifier of the beacon from the beacon signal and stores the beacon signal strength for each beacon.

As described above, the first terminal device 320 can determine the location of the first terminal device 320 using a plurality of beacon signal intensities. Or the computer device 150 may determine the location of the first terminal device 320 using a plurality of beacon signal strengths received from the first terminal device 320. [ For convenience of explanation, it is assumed that the first terminal device 320 directly determines its own position. Hereinafter, the first terminal device 320 will be described as a reference, but the computer device 150 may determine the location of the first terminal device 320 through the same operation.

The first terminal device 320 must prepare data for position estimation in advance. FIG. 4 is an example of data prepared in advance for tracking a patient position. FIG. 4A is an example of measuring beacon signal strength (RSSI) in each division area of a building. 4 (A) shows an example of measuring RSSI of a beacon signal at the first time. The beacon signal strength can be measured in advance using a terminal device. The user measures the intensity of the beacon signal received from each beacon at a particular point in time 1. Here, the specific point may be the center of the first direction. Or a specific point may be a random position in the first direction. The user measures the signal strength of the beacon in the first time over a plurality of times. 4A is an example of measuring the beacon signal strength (RSSI) received from seven beacons 311, 312, 313, 314, 315, 316 and 317 in the first time over 20 times. Twenty measurements are an example. The beacon signal strength (RSSI) is measured in the first place a plurality of times, and the average value of the measured RSSI is calculated. There is now one reference value for number one.

This process is repeated to calculate an average value of RSSIs for a plurality of beacon signals received in each segment zone. FIG. 4B is an example of a table storing an average value of the beacon signal strength RSSI received in each division zone. It is assumed that the first terminal device 320 has a table as shown in FIG. 4 (B). The RSSI stored in the table of FIG. 4 (B) is referred to as a reference RSSI.

4C is an example showing the beacon signal strength (RSSI) received by the first terminal device 320 at a specific position. For example, FIG. 4C may be the beacon signal strength RSSI measured by the first terminal device 320 in the situation shown in FIG. 3B.

The first terminal device 320 measures the beacon signal strength (RSSI) at a specific location and compares it with a reference RSSI. The first terminal device 320 compares the RSSI value of the received signal with the previously set reference RSSI value for each beacon disposed in the segment zone. The first terminal device 320 compares the RSSI value of the signal received by the segmented region (the row of FIG. 4B) with the reference RSSI value.

For example, the first terminal device 320 transmits (i) the RSSI value " -79.00 " of the signal received from the beacon 1 311 and the reference RSSI value " (Iii) difference between the RSSI value " -87.00 " of the signal received from beacon 2 312 and the reference RSSI value " -88.80 " received from beacon 2 312 in the first channel, (iii) The difference between the RSSI value "-89.00" of the signal received from the beacon 3 313 and the reference RSSI value "-92.45" received from the beacon 3 313 in the first channel, (iv) The difference between the RSSI value " -90.00 " and the reference RSSI value " -88-10 " received from the beacon 4 314 in the first channel, (v) -125.5 " of the signal received from the beacon 6 316 and the difference of the RSSI value " -102.5 " received from the beacon 6 316 from the beacon # A difference of one reference RSSI value " -105.0 " and (vii) The first terminal device 320 determines the difference between the RSSI value of the received signal "-95.10" and the reference RSSI value "-96.30" received from the beacon 7 317 in the first channel. The difference between the RSSI and the reference RSSI is determined, and the square of the difference value of the beacon RSSI is summed.

Also, the first terminal device 320 calculates the difference between the RSSI value of the signal received by the beacon and the reference RSSI of the second direction through the same process for the second terminal, and sums the squares of the difference values of the respective beacons. Thereafter, the first terminal device 320 calculates the difference between the RSSI value and the reference RSSI of the signal received for each beacon through the same process for all the remaining segment zones, and sums the square of the difference value of each beacon.

The first terminal device 320 determines the position of the first terminal device 320 as the position having the smallest squared difference value of the summed RSSIs. That is, the first terminal device 320 compares the reference RSSI value previously prepared for a plurality of beacons in the segment area with the RSSI value of the received signal, and compares the RSSI value of the received signal with the RSSI value of the received signal, . This technique is called finger-printing in that the position is estimated using the RSSI value prepared in advance.

Calculating the sum (L2 norm) of the difference between the received RSSI value and the reference RSSI corresponds to a sort of distance measure operation. Various techniques other than L2 norm can be used. For example, various techniques such as L1 norm (the sum of the absolute values of the differences) and a general Lp norm can be used.

In some cases, the signal of a particular beacon may not be received. In this case, the first terminal device 320 can set the signal strength of the beacon not received to a specific value (e.g., -105.0) and perform the above process.

3 and 4 show an example in which beacons are arranged in each of the divisional areas, but the beacons do not necessarily have to be arranged in each of the divisional areas. It is sufficient if a plurality of beacons are disposed at appropriate positions of the building for finger-prying.

FIG. 5 is an illustration of operation of the beacon-based patient monitoring system 400. FIG. The beacon-based patient monitoring system 400 includes beacons 411 through 416, a first terminal device 420, a sensor device 430, and a computer device 450. It is assumed that the first terminal device 420 determines its position. The first terminal device 420 compares the intensity of each beacon signal received at the current position with a predetermined reference RSSI to determine its position. It is assumed that the first terminal device 420 has determined that its position is an entrance area. The first terminal device 420 delivers its location (location identifier) to the computer device 450.

The sensor device 430 generates sensing data indicating that the patient is located in the proximity area of the door and transmits the sensed data to the computer device 450. [

The computer device 450 judges that the position of the current patient is the entrance area according to the location information transmitted by the first terminal device 420. [ At the same time, the computer device 450 determines that the patient is close to the door based on the sensed data. The computer device 450 combines the location of the patient and the sensing data to determine the risk of the patient. The computer device 450 may determine that the patient is in a hazardous condition that may move to and near the doorway. In this case, the computer device 450 transmits the risk state (patient information) of the patient to the second terminal device 80. [ In addition, the computer device 450 can control the door lock of the door to lock the door.

FIG. 5 illustrates an example using a proximity sensor of a door. Furthermore, the computer device 450 can determine the risk of the patient using various sensors disposed within the building. For example, when (i) the computer device 450 receives the information that the position of the patient is the kitchen from the first terminal device 420 and simultaneously receives the sensing data of the fire occurrence from the fire detection sensor disposed in the kitchen, And transmits the dangerous state of the patient to the terminal device (80). Also, the computer device 450 may control the sprinkler installed in the kitchen area to operate. The computer device 450 may also be controlled to operate a fire alarm installed in the building. (ii) The computer device 450 receives the information that the position of the patient is the toilet from the first terminal device 420, and simultaneously detects the noise from the sound detection sensor disposed in the toilet, And transmits the dangerous state of the patient to the second terminal device 80 upon reception. In this case, the patient has not been in the bathroom for more than a certain period of time.

In the above description, the sensor device has been described as a device that is placed (fixed) in a building. Further, the sensor device may be a device worn by the patient. For example, the sensor device may be a wearable device. In this case, the sensor device can collect information such as the patient's motion, the patient's posture, the body temperature of the patient, the pulse of the patient, and the like. Further, the first terminal device 420 may sense the movement of the patient or the posture of the patient using a sensor built therein. That is, the first terminal device 420 may be a sensor device. (iii) The computer device 450 receives from the first terminal device 420 information indicating that the position of the patient is a non-bedside position and at the same time detects the state of the patient from the sensor device, Upon receiving the data, the second terminal device 80 transmits the dangerous state of the patient. In this case, the patient may be fainted on the floor.

FIG. 6 is an example of a flowchart of a beacon-based patient monitoring method 600. FIG. In the following description, it is assumed that the position of the patient is determined by the first terminal device. It is also assumed that the computer device for judging the risk of the patient is a server on the network.

If the patient moves 510, the first terminal measures 520 the beacon signal. The first terminal device compares the received beacon signal strength with the reference RSSI value and determines the position of the patient (530). The first terminal device transmits the position of the patient to the server (540). The server may communicate 550 the location of the patient to the second terminal according to a second terminal (protector) request or periodically.

The sensor device detects the surrounding situation (560). The sensor device can detect the patient's proximity, temperature rise above the reference value, noise above the reference value, noise below the reference value for a predetermined time or more, stopping the patient for a certain period of time, , And at least one of the humidity generation above the reference value can be generated. The sensor device 560 transmits the sensing data to the server (570). The sensor device 560 may transmit the sensing data to the server via the data collecting device 240 described in FIG. Or the sensor device 560 may communicate the sensing data directly to the server using an individual communication module.

The server determines if the patient is located in a hazardous area (580). For example, it can be determined whether the patient is located near the door. The server may deliver the risk information to the caregiver (second terminal device) (591) if the patient is located in the hazardous area and at the same time the sensing data indicates a dangerous state (Yes at 580). The server can determine that the sensing data is in a dangerous state when the value of the sensing data is equal to or greater than the reference value. In addition, the server can determine that the sensing data is in a dangerous state when the value of the sensing data is equal to or greater than the reference value for a predetermined period of time. The server may control the door lock of the door by locking (591).

The server may store the patient's location or sensing data (592) if the patient is not located in a hazardous area or is located in a hazardous area, but the sensing data indicates a steady state (No at 580). Also, if the patient is not near the door (e.g., within a radius of 1 meter), the server may control the door lock of the door to the open state (592).

In FIG. 6, the server controls the door lock. However, the server can control various home devices according to the risk of the patient. For example, the server can control the window in an open state based on the smoke occurrence information delivered by the sensor device. The server may control the kitchen apparatus (such as a gas range) to be off based on information of the water boiling state (sound or temperature rise) of the sensor apparatus. In addition to the above-described example of the dangerous state, the above-described technique can determine various dangerous states by combining the position of the patient and sensing data, and inform the guardian or control the home apparatus.

The present embodiment and drawings attached hereto are only a part of the technical idea included in the above-described technology, and it is easy for a person skilled in the art to easily understand the technical idea included in the description of the above- It will be appreciated that variations that may be deduced and specific embodiments are included within the scope of the foregoing description.

80: second terminal device
100, 200, 300, 400: Beacon-based patient monitoring system
110A, 110B, 110C: Beacon
120A and 120B:
130A, 130B: sensor device
150: computer device
210A, 210B, 210C: Beacon
220A and 220B:
230A, 230B: sensor device
240: Data collecting device
250: Computer device
311, 312, 313, 314, 315, 316, 317: Beacons
320: first terminal device
350: Computer device
411, 412, 413, 414, 415, 416: Beacon
420: first terminal device
430: Sensor device
450: Computer device

Claims (12)

Confirming the position of the first terminal device in the room based on the intensity of the beacon signal;
Receiving the sensing data from the sensor device installed in the room;
Determining whether the first terminal device is located in a danger zone based on the location; And
And transmitting the danger information to the second terminal device through the network when the first terminal device is located in the dangerous area and the sensing data is greater than or equal to a reference value,
The step of verifying the location
Obtaining a first signal strength for a signal received from each of a plurality of beacons disposed in the room at each of a plurality of reference positions in the room;
Determining a second signal strength for a signal received by the first terminal device from each of the plurality of beacons at a current location of the first terminal device; And
Determining a position of the first terminal device having a smallest value obtained by summing squares of differences of the first signal intensity and the second signal intensity with respect to the same beacon among the plurality of reference positions, How to monitor. delete delete The method according to claim 1,
Wherein the sensing data is data obtained from an external sensor device, the data representing a degree of proximity of the first terminal device to a specific point, the data indicating a specific point temperature, the data indicating the sound volume of a specific point, Wherein the beacon-based patient monitoring data is at least one of data indicating a user's posture or movement. The method according to claim 1,
Wherein the sensing data is data measured by the first terminal device and includes at least one of data indicating an arrangement state of the first terminal device, data indicating a temperature, data indicating a sound size of a specific point, and data indicating a degree of proximity to a specific point A method of monitoring a beacon-based patient that is at least one piece of data. The method according to claim 1,
Wherein the computer device further comprises the step of controlling the home appliance located in the dangerous area when the first terminal device is located in the dangerous area and the sensing data is not less than a reference value. A terminal device receiving a beacon signal from a plurality of beacon devices and estimating a position in a room based on the intensity of the beacon signal;
A sensor device installed in the room and collecting sensing data; And
And a server device for collecting the position and the sensing data and determining that the terminal device is in a dangerous state when the sensing device is located in a dangerous area and the sensing data is greater than or equal to a reference value,
Wherein the terminal device holds in advance a first signal strength for a signal received from each of a plurality of beacons disposed in the room at a plurality of reference positions in the room, Determines a second signal strength with respect to a signal received from the terminal device and determines a position where a value obtained by summing squares of the difference between the first signal strength and the second signal strength for the same beacon among the plurality of reference positions is the smallest, Based beacon-based patient monitoring system. delete 8. The method of claim 7,
Wherein the sensing data includes at least one of data indicating a degree of proximity of the terminal device to a specific point, data indicating a specific point temperature, data indicating a loudness of a specific point, and data indicating the attitude or movement of the user wearing the sensor device Based beacon-based patient monitoring system. 8. The method of claim 7,
Wherein the beacon-based patient monitoring system further comprises a second terminal device for receiving the danger information from the server device when the terminal device is located in the dangerous area and the sensing data is equal to or greater than a reference value. 8. The method of claim 7,
Wherein the beacon-based patient monitoring system further comprises a home appliance that receives a control command from the server device when the terminal device is located in the dangerous area and the sensing data is equal to or greater than a reference value. 12. The method of claim 11,
Wherein the control command is at least one of a door lock, a door open, an illumination on, an illumination off, an alarm occurrence, an electrical shutdown, a gas shutoff and a sprinkler operation.

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